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Glypher Data

The main benefit of using GlyphViewer application is that it allows users to generate and build their own text from parts of a image, build translations, identify glyphs from ancient languages. Basically this process is structured into 3 parts:

  1. Discover glyphs
  2. Group glyphs into words
  3. Use the found words to create translations

The user will have to use the dialog forms functionality on the right side to apply the above steps. Let's take a quick look on how the application looks with all forms opened:


Discovering glyphs

The first thing you need to do after you added your image to the project is to start to generate glyphs.

Glyphs are basically characters that form a language. For a latin language they would be letters, numbers. For ancient languages, such as hieroglyphs, the would be signs in the image such as a bird, hand and so on.

In GlyphViewer application glyphs have a coresponding area, and they can have have one or more symbols associated from different languages with a degee of confidence. A glyph may have more than one symbol because you may not be sure of which one is corect (for example for incomplete glyphs).

You have the ability to either manually identify glyphs or use an OCR (optical character recognition) method to allow GlyphViewer to identify them for you.

OCR accuracy greatly depends on the image's resolution and how the character distinguashes from the background image. So if you will be using this method always check your results.

The easiest way to start building glyphs in your image is to use the 1. Identify Glyphs option from the 2Glyph menu, or use the buttons on the upper right side. You will need to open 2 dialog forms on the left as seen in the image:

  • language dialog will allow you to automatically recognize glyphs using an OCR technology. All you need to do is select a language you believe the glyphs belong to in 3 then click on the Select Area button.  A rectungular transparent selection area will apear over the image, like the one at 11. You can resize it by draging the borders of the area or move it by dragging it with your mouse across the image. Once you have selected the area containing the glyphs, select the language you believe the glyphs belong to, also from 3, then select an OCR engine in 4 and click Recognize. If glyphs will be identified they will apear on your image with surrounded by a bounding box filled with a color based on the confidence level of the identified symbols.
  • glyph builder dialog will allow you to manually identify a glyph in the image. You will probably want to use it if OCR fails. First at 1 select from the combo box the area to use to create a bounding area around your glyph. You can use either a rectungular area, SelectArea, or define a polygon using PolygonArea. After you have chosen the prefered select mode click on the Start Select button also at 1. Then go to the image where the glyph is located and:
    • if you chose SelectArea just click on the image then while holding the left mouse button drag to see the coresponding rectungular are forming. When you are done release the mouse left button.
    • if you chose PolygonArea you will have to click on the image with your mouse to add points to your polygon. You will notice that when you move your mouse that the polygon is being drawn, left click to add a point to it. When you are done double click with your left mouse button to commit the polygon.
    When you finished creating a bounding area around your glyph click on the Add button in 2. This will add the glyph to the image, but it will not add any symbols for your glyph. You will notice that the glyph is drawn with a gray area beacause of this. You will have to manually add symbols to your glyph by clicking on it.

Depending on the confidence value of a symbol associated with a glyph GlyphViewer will use different colors for drawing the bounding box in the image view. As you can see in 8 the glyph has a high confidence value and is shown in green. Near it you can see a glyph with a low confidence value in a gray bounding box. At any time you can remove a glyph and all it's symbols by clicking on its bounding box as in 8 the clicking on the Remove button in 2. You can also edit the glyph's value by clicking on it's bounding box. More information about this can be found in Glyph View.

 Recognizing words

After discovering some glyphs in the image, either manual or through an OCR engine, and associated some symbols to those glyphs, it's time to start to convert them into words. This is a paid feature of GlyphViewer application, each word in worth 1 credit. More information about this can be found at 1. Becoming a glypher.

In any case now it's time to see if we can add some meaning to the found glyphs. This stage can be done through the language dialog. This step only requires you to to click on the Select Area button at 3 then use the area as in 11 to cover over the glyphs that you want to be translated into words.

The selected glyphs are streamed into an array of symbols with their confidence data and sent to a remote 2glyph server to be translated. Only the symbol data is required by the remote server, no part of the original image is ever sent.

In the case that the symbols that you assigned to the glyphs can compose a word for the language you sent you will notice that new data will appear on your image, as you can see in 9. If you move your mouse over the word text you will notice that it will be highlighted as well as the symbols that compose the word. Editing the word can be done by clicking on it in the image, and a dialog form for it will appear as described in Word View.

For each word identified a credit will be charged to your account. You can see your remaining credits in your login form.


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